Microsoft Corporation Surface Pro 8
Geekbench AI Score
2399
Single Precision Score
2461
Half Precision Score
1508
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Seb_T |
| Upload Date | June 29 2025 12:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (HP)
|
100% |
1056
196.4 IPS |
|
|
Image Classification (Q)
|
100% |
845
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1065
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9790
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4878
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
98% |
1111
88.4 IPS |
|
|
Object Detection (Q)
|
86% |
1039
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
1717
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4783
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5141
39.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3325
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19531
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24636
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12472
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2985
110.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3565
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1236
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.3 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.8 IPS |
|
|
Text Classification (Q)
|
97% |
363
487.0 IPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
70% |
420
7.87 IPS |
